Examples of ca.nengo.dynamics.Integrator.integrate()

ca.nengo.dynamics.Integrator.integrate()
Integrates the given system over the time span defined by the input time series. @param system The DynamicalSystem to solve. @param input Input vector to the system, defined at the desired start and end timesof integration, and optionally at times in between. The way in which the integrator interpolates between inputs at different times is decided by the Integrator implementation. @return Time series of output vector

    TimeSeries input = new TimeSeriesImpl(new float[]{0f, .001f, .5f},
        new float[][]{new float[]{1, rl, 0f}, new float[]{0, rl, 0f}, new float[]{0, rl, 0f}},
        new Units[]{Units.UNK, Units.M, Units.M_PER_S});


    long startTime = System.currentTimeMillis();
    TimeSeries output = i.integrate(d, input);
    ourLogger.info("Elapsed time: " + (System.currentTimeMillis() - startTime));


    Plotter.plot(output, "Force");
  }

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      C[i] = new float[dim];
      C[i][i] = 1f / tau;
    }    
    LTISystem filter = new SimpleLTISystem(A, B, C, new float[dim], series.getUnits());
    
    return integrator.integrate(filter, series);    
  }
  
  /**
   * @param series An n-dimensional TimeSeries
   * @param dim Index (less than n-1) of dimension to extract

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    impulse[input] = pulseHeight;
    
    float[] zero = new float[system.getInputDimension()];
    Units[] units = new Units[system.getInputDimension()];    
    
    TimeSeries pulse = integrator.integrate(system, 
        new TimeSeriesImpl(new float[]{0f, pulseWidth}, new float[][]{impulse, impulse}, units));
    integral = integrate(pulse);    
    
    float decayTime = -10f / (float) eigRange[1];    
    TimeSeries decay = integrator.integrate(system,

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    TimeSeries pulse = integrator.integrate(system, 
        new TimeSeriesImpl(new float[]{0f, pulseWidth}, new float[][]{impulse, impulse}, units));
    integral = integrate(pulse);    
    
    float decayTime = -10f / (float) eigRange[1];    
    TimeSeries decay = integrator.integrate(system, 
        new TimeSeriesImpl(new float[]{0f, decayTime}, new float[][]{zero, zero}, units)); //time-invariant, so we can start at 0
    float[] increment = integrate(decay);
    integral = MU.sum(integral, increment);
  
    float stepTime = -.5f / (float) eigRange[1];

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    float[] increment = integrate(decay);
    integral = MU.sum(integral, increment);
  
    float stepTime = -.5f / (float) eigRange[1];
    do {
      decay = integrator.integrate(system, 
          new TimeSeriesImpl(new float[]{0f, stepTime}, new float[][]{zero, zero}, units));
      increment = integrate(decay);
      integral = MU.sum(integral, increment);
    } while (substantialChange(integral, increment, .001f * stepTime / decayTime));

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  public void testIntegrate() {
    VanderPol system = new VanderPol(new float[]{.1f, .1f});
    Integrator integrator = new RK45Integrator();
    TimeSeries input = new TimeSeriesImpl(new float[]{0, 10f}, new float[][]{new float[0], new float[0]}, new Units[]{});
    TimeSeries result = integrator.integrate(system, input);
    
    assertTrue(result.getTimes().length < 60);
    
    //check results against selected hard-coded values from matlab solution ... 
    InterpolatorND interpolator = new LinearInterpolatorND(result);

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